coupled analysis of degradation processes in concrete ...€¦ · drying shrinkage in the spanish...
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UNIVERSITAT POLITÈCNICA DE CATALUNYA
ESCOLA TÈCNICA SUPERIOR D’ENGYNIERS DE CAMINS, CANALS I PORTS DE BARCELONA
DEPARTMENT OF GEOTECHNICAL ENGINEERING AND GEOSCIENCES
Coupled analysis of degradation processes in concrete specimens at the meso-level
DOCTORAL THESIS SUBMITTED BY
ANDRÉS ENRIQUE IDIART
SUPERVISED BY:
IGNACIO CAROL
CARLOS MARÍA LÓPEZ
Doctoral Program in Geotechnical Engineering
BARCELONA, MAY 2009
i
Contents
1. INTRODUCTION 1
1.1. Motivation and scope . . . . . . . 1
1.2. Objectives . . . . . . . . . 2
1.3. Methodology . . . . . . . . . 3
1.4. Organization of the thesis . . . . . . . 3
2. MESOSTRUCTURAL MODELING 5
2.1. Levels of analysis . . . . . . . 5
2.2. Numerical models at the meso-level . . . . 7
2.2.1. Lattice models . . . . . . 9
2.2.2. Particle models . . . . . . 10
2.2.3. Continuum models . . . . . . 12
2.2.4. Generation of geometries . . . . . 13
2.3. Crack modeling strategies . . . . . . 14
2.3.1. Fracture principles: LEFM vs. NLFM . . . 15
2.3.2. Discrete vs. smeared crack approach,
and more recent developments. . . . . 16
2.3.3. Constitutive modeling for interface elements . . 18
2.4. Description of the model by Carol, Prat & López (1997) . . 19
2.4.1. Generalities . . . . . . . 19
2.4.2. Cracking surface and the elastic regime . . . 20
2.4.3. Plastic potential: flow rule and dilatancy . . . 22
2.4.4. Internal variable . . . . . . 24
2.4.5. Evolution laws for the hyperbola parameters . . 24
2.5. Consideration of the aging effect in the constitutive model . 27
2.5.1. Internal variable and evolution laws for the parameters . 28
2.5.2. Formulation . . . . . . . 29
2.5.3. Constitutive verification . . . . . 30
2.5.3.1. Shear/compression test . . . . . 30
ii
2.5.3.2. Pure tensile test . . . . . . 31
2.6. Mesostructural continuum mesh generation in 2D . . . 32
2.7. Description of the aging viscoelastic model for the matrix behavior 39
2.7.1. Uniaxial compression test for different ages . . . 40
2.7.2. Basic creep in compression . . . . . 40
3. DRYING SHRINKAGE AND CREEP IN CONCRETE: A SUMMARY 43
3.1. Experimental evidence: drying, cracking and shrinkage . . 45
3.1.1. A brief review of drying and shrinkage mechanisms in concrete . 45
3.1.2. Factors affecting drying shrinkage . . . . 48
3.1.3. Sorption/desorption isotherms . . . . 51
3.1.4. Measuring shrinkage strains . . . . . 53
3.1.5. Shrinkage-induced microcracking and its detrimental effects . 54
3.1.5.1. Coupling between drying-induced microcracks and drying process . 54
3.1.5.2. Effect of the aggregates on drying shrinkage microcracking . 57
3.1.5.3. Effect of drying-induced microcracking on the mechanical
properties of concrete . . . . . 59
3.1.5.4. Spacing of superficial drying-induced microcracks . . 60
3.1.5.5. Influence of cracking on the transport of ions
in cementitious materials . . . . . 61
3.2. Experimental evidence: creep of concrete . . . . 62
3.2.1. Basic creep . . . . . . . 64
3.2.2. Drying creep and the Pickett effect . . . . 65
3.3. Code-type formulas for creep and drying shrinkage . . 68
3.3.1. Drying shrinkage in the Spanish code (EHE, 1998) . 68
3.3.2. Creep strains in the Spanish code (EHE, 1998) . . 69
3.4. Numerical modeling of drying shrinkage in concrete . . 70
3.4.1. Different approaches to moisture transfer modeling . . 70
3.4.2. Boundary conditions . . . . . . 75
3.4.3. Modeling shrinkage strains . . . . . 75
3.4.4. Modeling moisture movement through open cracks . . 77
3.4.4.1. Explicit models . . . . . . 77
3.4.4.2. Damage and smeared crack models . . . 79
3.5. Numerical modeling of creep in concrete . . . . 81
3.5.1. Constitutive modeling of basic creep . . . 81
3.5.2. Some final remarks on modeling drying creep . . 83
iii
4. NUMERICAL ANALYSIS OF DRYING SHRINKAGE IN CONCRETE 85
4.1. Drying shrinkage: model description . . . . 85
4.1.1. Moisture diffusion through the uncracked porous media . 86
4.1.2. Moisture diffusion through the cracks . . . 87
4.1.3. Desorption isotherms model (Norling model, 1994) . 88
4.1.4. Volumetric strains due to drying . . . . 89
4.2. Coupling strategy: a staggered approach . . . . 92
4.3. Preliminary study of the effect of a single crack on the drying process . 94
4.3.1. Influence of the crack depth on the drying process . . 96
4.3.2. Influence of the crack opening on the drying process . 97
4.4. Coupled hygro-mechanical (HM) analysis at the meso-scale . 98
4.5. Effect of the aggregates on the drying-induced microcracking . 107
4.5.1. Microcracking around one single inclusion . . . 108
4.5.2. Microcracking in concrete specimens with multiple inclusions . 110
4.5.2.1. Effect of the degree of drying . . . . 113
4.5.2.2. Effect of aggregate volume fraction . . . 114
4.5.2.3. Effect of aggregate size . . . . . 116
4.5.2.4. Randomness effect . . . . . . 118
4.5.2.5. Effect of creep . . . . . . 118
4.5.2.6. Effect of aggregate shape . . . . . 119
4.6. Simulation of experiments by Granger . . . . 121
4.6.1. Description of the tests . . . . . 121
4.6.2. Simulation results . . . . . . 123
4.7. Drying shrinkage under an external compression load . . 126
4.8. Partial conclusions on HM modeling of drying shrinkage . . 129
5. EXTERNAL SULFATE ATTACK ON SATURATED CONCRETE 133
5.1. Some experimental evidence of sulfate attack . . . 133
5.1.1. Fundamentals of external sulfate attack . . . 134
5.1.2. Factors affecting sulfate attack . . . . 138
5.1.3. Other kinds of sulfate attack . . . . . 141
5.1.4. Final remarks on experimental evidence of sulfate attack . 142
5.2. Modeling of external sulfate attack . . . . . 143
5.2.1. Chemo-transport models for sulfate ions . . . 143
5.2.1.1. Modeling of the composition at chemical equilibrium . 144
iv
5.2.1.2. Modeling of the transport processes including chemical reactions . 144
5.2.2. Models for the degradation of cementitious materials
under sulfate attack . . . . . . 145
5.2.2.1. Empirical and phenomenological models . . . 145
5.2.2.2. Advanced chemo-transport-mechanical models . . 147
5.2.3. Some final comments on the modeling of external sulfate attack . 155
6. NUMERICAL ANALYSIS OF EXTERNAL SULFATE
ATTACK ON SATURATED CONCRETE SPECIMENS 157
6.1. External sulfate attack: model description . . . . 157
6.1.1. Chemical reactions considered and transport model . . 157
6.1.2. Diffusion coefficient for sulfate ions: uncracked porous medium . 159
6.1.3. Diffusion of sulfate ions through the cracks . . . 161
6.1.4. Calculation of volumetric expansions . . . 163
6.2. First-stage verifications . . . . . . 165
6.2.1. Verification of the implementation of the model . . 165
6.2.2. Macroscopic simulation of the expansion of mortar prisms . 167
6.2.3. Effect of a single inclusion on the cracking
due to matrix expansion . . . . . 169
6.3. Coupled chemo-mechanical (C-M) analysis at the meso-scale . 170
6.3.1. Comparison between coupled and uncoupled analyses . 171
6.3.2. Influence of the initial C3A content of the cement . . 176
6.3.3. Influence of the diffusion through the cracks . . 178
6.4. Simulation of the experiments by Wee et al. (2000) . . 183
6.5. Partial conclusions on C-M modeling of external sulfate attack . 185
7. CLOSURE 187
7.1. Summary and conclusions on the mesostructural modeling . 187
7.2. Summary and conclusions on the drying shrinkage of concrete and its hygro-
mechanical simulation . . . . . . 188
7.3. Summary and conclusions on the external sulfate attack and in concrete and its
chemo-mechanical simulation . . . . . 189
7.4. Future research lines . . . . . . . 191
References 195
Appendix A 213
Abstract
Recent years have witnessed an important shift of the concrete mechanics
community towards the numerical study of coupled problems, dealing with
environmental-related degradation processes of materials and structures,
such as chemical attack, high temperature effects or drying shrinkage.
Traditionally, coupled analyses in the literature have been performed at the
macroscale, considering the material as a continuous and homogeneous
medium. However, it is well known that the origin of observed degradation
phenomena at the material level often lies on the interplay at the level of
aggregates and mortar, especially when differential volume changes are
involved between material constituents. This is the reason why meso-
mechanical analysis is emerging as a powerful tool for material studies,
although at present only a few numerical models exist that are able to
perform a coupled hygro-mechanical or chemo-mechanical analysis at the
scale of the main heterogeneities, i.e. the mesoscale.
This thesis extends the applicability of an existing finite element meso-
mechanical model developed within the same research group over the last
fifteen years, to the analysis of coupled hygro-mechanical and chemo-
mechanical problems, in order to study drying shrinkage and external sulfate
attack in concrete specimens. The Voronoï/Delaunay tessellation theory is
used to explicitly generate the geometry of the larger aggregates embedded in
a matrix representing mortar plus smaller aggregates. Fracture-based
interface elements are inserted along all aggregate-matrix and some of the
matrix-matrix mesh lines, in order to simulate the main potential crack paths.
The main contribution of the present work is the combination of a coupled
analysis with a mesostructural representation of the material, and the
simulation of not only crack formation and propagation, but also the
influence of evolving cracks on the diffusion-driven process.
Calculations are based on the finite element codes DRAC and DRACFLOW,
developed within the research group, which are appropriately modified and
coupled together through a staggered approach. The simulations include the
evaluation of the coupled behavior, the adjustment of model parameters to
experimental data available from the literature, and different studies of the
effects of aggregates on the drying-induced microcracking and expansions
due to sulfate attack, as well as the simultaneous effect of the diffusion-driven
phenomena with mechanical loading. The results obtained agree well with
experimental observations on crack patterns, spalling phenomena and strain
evolution, and show the capability of the present approach to tackle a variety
of coupled problems in which the heterogeneous and quasi-fragile nature of
the material plays an important role.
Resumen
En los últimos años, el análisis numérico de problemas acoplados, como los
procesos de degradación de materiales y estructuras relacionados con los
efectos medioambientales, ha cobrado especial importancia en la comunidad
científica de la mecánica del hormigón. Problemas de este tipo son por
ejemplo el ataque químico, el efecto de altas temperaturas o la retracción por
secado.
Tradicionalmente, los análisis acoplados existentes en la literatura se han
realizado a nivel macroscópico, considerando el material como un medio
continuo y homogéneo. Sin embargo, es bien conocido que el origen de la
degradación observada a nivel macroscópico, a menudo es debida a la
interacción entre los áridos y el mortero, sobre todo cuando se dan cambios de
volumen diferenciales entre los dos componentes. Esta es la razón por la que
el análisis mesomecánico está emergiendo como una herramienta potente
para estudios de materiales heterogéneos, aunque actualmente existen escasos
modelos numéricos capaces de simular un problema acoplado a esta escala de
observación.
En esta tesis, la aplicabilidad del modelo meso-mecánico de elementos finitos,
desarrollado en el seno del grupo de investigación durante los últimos quince
años, se extiende al análisis de problemas acoplados higro-mecánicos y
químico-mecánicos, con el fin de estudiar la retracción por secado y el ataque
sulfático externo en muestras de hormigón. La generación numérica de meso-
geometrías y mallas de elementos finitos con los áridos de mayor tamaño
rodeados de la fase mortero se consigue mediante la teoría de
Voronoï/Delaunay Adicionalmente, con el fin de simular las principales
trayectorias de fisuración, se insertan a priori elementos junta de espesor nulo,
equipados con una ley constitutiva basada en la mecánica de fractura no
lineal, a lo largo de todos los contactos entre árido y matriz, y también en
algunas líneas matriz-matriz.
La aportación principal de esta tesis es, conjuntamente con la realización de
análisis acoplados sobre una representación mesoestructural del material, la
simulación no solo de la formación y propagación de fisuras, sino también la
consideración explícita de la influencia de éstas en el proceso de difusión.
Los cálculos numéricos se realizan mediante el uso de los códigos de
elementos finitos DRAC y DRACFLOW, previamente desarrollados en el seno
del grupo de investigación, y acoplados mediante una estrategia staggered. Las
simula-ciones realizadas abarcan, entre otros aspectos, la evaluación del
compor-tamiento acoplado, el ajuste de parámetros del modelo con resultados
experimentales disponibles en la bibliografía, diferentes estudios del efecto de
los áridos en la microfisuración inducida por el secado y las expansiones
debidas al ataque sulfático, así como el efecto simultáneo de los procesos
gobernados por difusión y cargas de origen mecánico. Los resultados
obtenidos concuerdan con observaciones experimentales de la fisuración, el
fenómeno de spalling y la evolución de las deformaciones, y muestran la
capacidad del modelo para ser utilizado en el estudio de problemas acoplados
en los que la naturaleza heterogénea y cuasi-frágil del material tiene un papel
predominante.
213
Appendix A
In order to integrate the equation that gives the rate of consumption of the i different
calcium aluminate phases Ci,
i ii
i
C UC- k
t a
∂ =∂
for i = 1,n (A.1)
the discretization of the variable U (that represents the sulfates concentration) in time is
shown in figure A.1 and done as follows
Uj
Uj+Ω
Uj+1
t j t+ Ω∆t t j+1 t
U
∆t
∆Uj
Uj
Uj+Ω
Uj+1
t j t+ Ω∆t t j+1 t
U
∆t
∆Uj
Figure A.1. Linear time discretization.
j jU U U= + Ω∆ , for j j 1t t , t + ∈ (A.2)
with 0 1≤ Ω ≤ , and j is the iteration number. Plugging in this last expression into the
expression A.1 yields
( )j j
iii
i
U U CdC- k
dt a
+ Ω∆= for i = 1,n (A.3)
or
( )j j
ii
i i
U UdC- k dt
C a
+ Ω∆= for i = 1,n (A.4)
The integration of the previous expression yields
( )j 1j 1i
jji
j j
C t
i iC ti
U UlnC - k t
a
++
+ Ω∆= for i = 1,n (A.5)
which may be written as
214
( )j jj 1
iij
i i
U UCln - k tC a
+ + Ω∆= ∆ for i = 1,n (A.6)
Finally, j 1
iC+ can be calculated in an explicit form as
( )j 1 j j jii i
i
kC C exp U U t
a
+ = ⋅ − ⋅ + Ω⋅∆ ⋅∆
(A.7)
1
Chapter 1
INTRODUCTION
1.1. Motivation and scope
Over the last few decades, durability of concrete structures has become a key aspect
in the design of new structures and the repair of existing ones. A large body of
experimental studies can be found in the literature dealing with different kinds of
degradation processes, such as chloride ingress, carbonation or sulfate attack. At the
same time, simple numerical models based on empirical and phenomenological
arguments have been proposed in order to analyze and quantify the rate and extent of
specific degradation processes. The main drawback of these simple tools is that the
results of the analysis of the diffusion process cannot be directly related to the
mechanical response of the specimen or structure, thus rendering their application to
real cases somewhat difficult. In recent years, coupled numerical simulations have
emerged as powerful tools to study the relation between the diffusion-driven
phenomena and the mechanics behind it, and this has been typically done at a
macroscopic scale. However, the heterogeneous and quasi-brittle nature of concrete
material makes it difficult to study this type of problems assuming a continuous and
homogeneous medium. Indeed, damage and fracture in concrete are generally governed
by the main heterogeneities in the material, and the influence of cracks in the different
diffusion processes cannot be neglected in general. To remediate this, and with the help
of rapidly increasing computer resources, mesomechanical analyses have recently
emerged and proved to be very helpful in understanding the macroscopic behavior of
concrete starting from the more fundamental response of its individual components.
All the specific features described above, which are characteristic of cementitious
materials, have motivated the present work, which deals with coupled numerical
simulations of drying shrinkage (hygro-mechanical coupling) and external sulfate attack
(chemo-mechanical coupling) in concrete specimens within a mesostructural
framework. In the case of drying shrinkage, the main interest is in evaluating the effect
of drying-induced microcracks and the material heterogeneity on the overall response of
concrete specimens in terms of strains, weight losses, moisture distribution and crack
patterns. The case of sulfate attack is more complicated from a chemical point of view,
but also from a mechanical one, since experiments have shown very large expansions
and spalling phenomena leading to total disintegration in some extreme cases. Recent
advances in the experimental and also in the modeling fields have shown encouraging
results towards a scientific interpretation of the main processes involved, a generally
accepted explanation of the overall process is still missing. This degradation process is
studied with the present approach in order to reflect the correct levels of expansion and
2
crack patterns starting from a diffusion process for the sulfate ingress and considering
the main chemical reactions which take place.
1.2. Objectives
The main objective of this thesis is to develop a 2D numerical model for the study of
coupled problems in concrete involving diffusion-driven phenomena and mechanics
from a mesostructural point of view. Secondly, the model has to be verified with
existing experimental data and analytical solutions. The primary focus has been made
on the drying shrinkage and external sulfate attack problems in concrete specimens. The
goal has been to reproduce numerically the overall response of saturated specimens,
subjected to drying or submerged in sodium sulfate solutions, in terms of evolution of
strains, crack patterns and/or weight losses. As the starting point, an existing meso-
mechanical model for concrete in 2D, and the FE codes DRAC and DRACFLOW, for the mechanical and diffusion analyses, respectively, developed by the Mechanics of
Materials group at UPC, have been used. In order to achieve the main goal, various
requirements had to be fulfilled, which are listed in the following:
• The geometry and mesh generation procedure in 2D for concrete specimens
has to be fully automated and considerable improvements of several features
must be introduced, allowing the generation of more complicated geometries,
with notches and wedges, and a greater freedom in the aggregate distribution
and sizes than in the original mesh generation tool, the adaptation of meshes
to diffusion problems (mesh refinement near the exposed surface/s). Also the
quantification of microcracks during the post-processing stage is an important
aspect that has to be considered.
• The constitutive model for zero-thickness interface elements that accounts for
the aging effect has to be updated. More specifically, the numerical
integration scheme and the consideration of a consistent tangent operator
have to be addressed, and improvements in the convergence must be achieved
for more computational demanding cases.
• A model for studying drying shrinkage in concrete within the mesostructural
framework has to be developed and many features have to be examined, such
as the formulation of the shrinkage coefficient or the moisture capacity
matrix. Also the effects on the drying process of a single crack and a single
aggregate with changing characteristics should be studied.
• A model for analyzing the diffusion-reaction process taking place in the
external sulfate attack problem in concrete has to be developed. From an
extensive literature review, the most appropriate existing model must be
adopted and adapted to the present mesostructural framework with discrete
cracking. Also, the possibility of improvements in the formulation is to be
considered. The diffusion of ions through open cracks has to be addressed
and numerically quantified.
• One of the most important aspects is the simulation of different degradation
scenarios, with different boundary conditions, different material properties
and aggregate volume fractions, and eventually evaluating the model also
under simultaneous mechanical loads.
3
• The introduction of new material parameters for the coupled calculations and
the fact that simulations have been performed in 2D make it difficult to verify
the model. Thus, adjustment of model parameters with experimental results is
an important task that has to be addressed during the course of this thesis.
1.3. Methodology
In order to perform a coupled hygro-mechanical (H-M) or chemo-mechanical (C-M)
finite element (FE) analysis of concrete at the meso-level an explicit two-dimensional
(2D) representation of its internal structure is carried out. Only the largest aggregates
are discretized in the FE mesh and are embedded in a matrix phase representing the
mortar plus smaller aggregates. This is motivated by the fact that fracture and failure in
concrete are generally governed by the main heterogeneities in the material. The
geometry of the discretized aggregates is numerically generated by using the standard
Voronoï/Delaunay tessellation theory, allowing the representation of the effect of
formwork walls on the numerical specimen surfaces. Zero-thickness interface elements
are inserted a priori between all the aggregate-matrix contacts and also along some
predefined matrix-matrix contacts in order to represent the main potential crack paths.
From a mechanical point of view, these elements are equipped with an elasto-plastic
constitutive model and the evolution of the fracture surface is governed by fracture
mechanics-based parameters. The continuum elements are assumed to behave linear
elastically or visco-elastically with aging, depending on the case studied. Thus, the non
linearity of the model is achieved exclusively by means of the zero-thickness interface
elements. The diffusion analysis for drying or sulfate ingress is performed over the
same FE mesh, allowing the consideration of the diffusive properties along the
micro/cracks, in addition to the diffusion through the continuum. These features make
the present model a powerful tool for the analysis of coupled problems in heterogeneous
and quasi-brittle materials. Relative humidity is considered as the only variable
governing the moisture diffusion in the drying shrinkage simulations. In the case of
modeling of external sulfate attack, a diffusion-reaction equation for the sulfate ions
ingress, with a second-order reaction, is considered, and reaction kinetics is explicitly
introduced. The coupling between mechanics and diffusion-driven phenomena, which
are calculated separately by two (in principle) independent codes, is materialized with
the use of a staggered approach. Iterative coupling is only needed when diffusion
through the cracks is to be considered. Otherwise a simple uncoupled calculation
suffices, in which the results from the simulation of the diffusion process, in the form of
shrinkage strains or thermal-like expansions, serve as input to the mechanical analysis,
where the overall response is determined. Finally, time discretization is performed
through a finite difference scheme.
1.4. Organization of the thesis
After this short introduction, this thesis is structured as briefly described in the
following paragraphs.
Chapter 2 reviews the existing mesostructural models and describes in some detail
the numerical approach used in this thesis for the modeling of concrete and other
cementitious materials at the meso-level. First, the various levels of analysis are
introduced, and the different numerical models at the meso-level developed in the past
are compared, with emphasis not only on the mechanical performance, but also on
recent work done in the domain of coupled problems at this scale, more specifically
4
aiming at diffusion-driven phenomena coupled with mechanics. Next, existing crack
modeling strategies are briefly described and the constitutive model for interface
elements that accounts for aging effect used in this thesis is presented. Finally, the mesh
generation procedure in 2D and the description of the aging viscoelastic behavior of the
model are addressed.
Chapter 3 reviews the state-of-the-art regarding drying shrinkage and the
fundamentals of creep in concrete, with emphasis on the former of these two common
concrete topics. The most important experimental features are described and the up-to-
date available modeling tools are critically assessed. Special attention is given to the
shrinkage-induced microcracking and its detrimental effects on mechanical properties,
but also on the transport and diffusive properties. The effect of the presence of
aggregates on microcracking is discussed as well.
In Chapter 4, the main results obtained regarding the modeling of drying shrinkage in
concrete specimens are presented. The first two sections describe the diffusion model in
detail, for the continuum as well as the microcracks, and the coupling strategy. Next,
results on the effect of a single crack on the drying process and of a single inclusion on
the internal microcracking are presented. The coupled hygro-mechanical analysis at the
meso-level is addressed, with detailed studies of the effect of aggregates on the drying-
induced microcracking and the adjustment of model parameters with experimental
results on drying shrinkage of concrete specimens (Granger, 1996). Finally, drying
shrinkage simulations under a simultaneous compression load is considered.
Chapter 5 includes a review of the experimental evidence of the external sulfate
attack problem in concrete and concrete structures. The chemical reactions involved, the
factors affecting the extent of degradation and the different kinds of sulfate attack are
briefly described. Next, a review of the proposed models found in the literature and their
critical assessment are presented. Models for the chemo-transport problem of sulfate
ingress as well as the mechanical analysis of sulfate attack have been studied in detail,
and an overview of the main advantages and drawbacks of the different procedures is
performed.
In Chapter 6, the most relevant results of the modeling of external sulfate attack of
concrete specimens under saturated conditions are presented. The first sections describe
in detail the model developed and present the verification of the numerical
implementation with analytical formulas. Next, the application to the cases of mortar
bars under sodium sulfate attack and the study of the influence of the aggregate size on
the microcracking due to matrix expansions are presented. The coupled C-M analysis of
concrete at the meso-level is addressed, and the influence of some material parameters
and the effect of coupling are studied. In addition, the adjustment of some model
parameters with experimental measurements of expansion of concrete specimens under
external sodium sulfate attack is included.
Finally, Chapter 7 summarizes the main conclusions that can be drawn from this
thesis, as well as the possible directions for future work, in the field of coupled
problems and mechanical analysis of quasi-brittle materials.
5
Chapter 2
MESOSTRUCTURAL MODELING
Computational modeling of damage and fracture of quasi-brittle materials, such as
concrete, is a challenging task. Since the beginning of numerical analysis via Finite
Elements in the early 70s, this has been traditionally done using the macroscopic
approach, i.e. considering concrete as a homogeneous material, and its intrinsic
behavior described by continuum-based constitutive models. However, already in the
80s and mainly in the 90s, that approach started showing some important limitations
and in the last decade a lot of effort has been devoted to take into account the material
microstructure at different scales of observation. In this chapter, focus is made on the
proposed models for studying concrete from a mesostructural viewpoint, in which only
the main heterogeneities of the material (i.e. the larger aggregates) are explicitly
represented. Accordingly, the chapter is organized as follows. First, the various scales
of observation commonly considered in material analysis (macro, meso, micro and
nano) are introduced. Next, the different types of meso-scale models are discussed and
compared, with emphasis not only on the mechanical performance but also on what has
been done so far regarding the coupled hygro-mechanical or chemo-mechanical
behavior of concrete at this scale. A brief discussion on the generation of geometries at
the meso-level is presented, together with a description of the process to obtain the FE
meshes for the simulations included in this thesis. The main crack modeling strategies
are then addressed, and different mechanical constitutive models especially designed for
zero-thickness interface elements are discussed. Finally, the interface model used
throughout this thesis, that considers the aging effect, is described in detail.
2.1. Levels of analysis
Although concrete is a heterogeneous material obtained by mixing cement, water and
aggregates of different sizes, sometimes up to several centimeters, traditional
engineering studies have considered concrete as a homogeneous material that can be
idealized as an infinitesimal continuum medium with average properties. This may be
called the macroscopic approach (figure 1a). In the early 80’s, Wittmann (1982)
proposed three levels of observation for concrete studies, from lower to higher: the
microscopic level at the micro-meter scale (µm), the mesoscopic level at the mm-cm
scale, and the macroscopic level at the metric scale (figure 1). At the macro-level, most
of the models proposed in the literature consider phenomenological relations based on
macroscopic observations, typically between average strain and average stress on a
sufficiently large concrete volume. Despite the oversimplification that this implies, this
approach, linked to the use of continuum-type constitutive models such as plasticity
and/or damage theory plus, in some cases, some principles of fracture mechanics, has
6
led to a relatively satisfactory description of the basic features of the mechanical
behavior of concrete. This is however at the price of increasing the complexity of the
constitutive models, with many physically-meaningless ad-hoc parameters and
functions.
The drastic increase in computer power over the last two decades made it possible to
start introducing explicitly the first-order material heterogeneities in the analysis (i.e.
the larger aggregates in the case of concrete or the sand particles in the case of mortar;
figure 1b,c). This approach, initially done only for small material specimens, provides a
much more powerful and physically-based description of the material behavior in
general, and specifically of the fracture processes and mechanical properties of
concrete. To a certain extent, this could be expected, since we know that the apparent
macroscopic behavior observed macroscopically is a direct consequence of the more
complex intricate phenomena that take place at the level of the material heterogeneities.
In the case of concrete, the components considered are typically the larger aggregates,
the mortar, and the interfaces between these two. The model proposed in this study is
included in this category. The advantage that compensates the higher computational cost
of performing such an analysis is the resulting simplification of the models that have to
be used to represent the behavior of each component present in the heterogeneous
material.
A third scale of analysis is the microscale (figure 1d left), in which the internal
structure of the hardened cement paste (HCP) or the interfacial transition zone (ITZ) are
studied. Chemical processes during hydration, drying or attack of an aggressive agent
are important features at this level. Enormous advances have been achieved in this field,
resulting in the development of more resistant and durable concretes. Additionally, the
development of new experimental techniques, such us nanoindentation or transmission
electron microscope (TEM), has permitted to study concrete at a lower scale: the
nanoscale, which could be considered a fourth level of analysis (figure 1d right). One of
the many applications at this scale aims at determining the composition and behavior of
the calcium silicate hydrates (CSH), something that is emerging as a topic of major
importance in concrete technology, since this reaction product turns out to be
responsible, to a large extent, of the overall mechanical and time-dependent properties
of concrete.
In a multiscale analysis the results obtained from one scale should provide input
information for the upper level. For instance, in the case dealt with in this thesis,
microstructural studies should give information on the behavior of the matrix or the
interfaces at the mesoscale, and the results obtained at the latter should provide insight
into the macroscopic behavior (Willam et al., 2001). This requires the determination of
the minimal representative volume element (RVE) at each scale of the concrete
material. It has been shown that the determination of such a volume at the concrete
mesoscale is not straightforward and that it depends on many factors, such as
periodicity of aggregates distribution and boundary conditions, ratio between matrix and
aggregate stiffness, etc. (see Gitman et al., 2007 and references therein). Given the
difficulty of this determination, and the high computational cost, one may wonder why
we need to perform an analysis at the meso-level. By performing such an analysis we
are restricting ourselves, due to a high computational cost, to the simulation of concrete
lab specimens or small concrete members at the most. The main advantage of
mesostructural studies is the fact that simpler models, as compared to a macroscopic
one, may be used for each of the components defining the heterogeneous material. In
the case of concrete, the aggregate and mortar phases as well as the interfaces between
7
them have a life on their own. It has been shown that with the use of such an approach,
the resulting overall complex behavior of concrete specimens comes out naturally as a
result of using simple models for each of the phases (see e.g. López, 1999, López et al.,
2008 or Caballero et al., 2006). Moreover, the effect of different aggregate materials,
distributions and/or shapes (or even with the addition of fibers, see e.g. Leite et al.,
2004 and Li et al., 2006) can be studied in a more direct and systematical way than with
the use of homogeneous models at the macro-scale.
Figure 2.1. Representation of different levels of analysis. (a) Macroscale; (b) concrete
mesoscale; (c) mortar mesoscale; (d) micro and nano scales.
2.2. Numerical models at the meso-level
Even though mesostructural models have become popular only over the last decade,
there exist in the literature a number of previous proposals dealing with continuous and
lattice representations of the heterogeneous medium, starting with the pioneering
continuum model named “béton numérique” by Wittmann and coworkers (Roelfstra et
al., 1985), and other models that followed in subsequent years (Stankowsky, 1990;
Bazant et al., 1990; Schlangen & van Mier, 1992; Vonk, 1992; de Schutter & Taerwe,
1993; Wang & Huet, 1993).
8
Most of the models at the meso-level proposed in the literature focus their attention
on the study of crack patterns and stress-strain curves under purely mechanical loading
of concrete specimens, and only a few of them have extended their applicability to the
analysis of coupled degradation processes, such as hygral gradients (Sadouki &
Wittmann, 2001; Schlangen et al., 2007), thermo-mechanical problems (Willam et al.,
2005) or chemical attack. This is to some extent surprising since some of the early
models mentioned above had already proposed to study the drying behavior of
composites at this scale (Roelfstra et al., 1985 and more recently upgraded to
preliminary analysis of drying of 3D samples in Hörsch & Wittmann, 2001; Tsubaki et
al., 1992; Sadouki & van Mier, 1997), as can be seen in figure 2.2. For instance,
Guidoum (1993) studied the viscoelastic response of concrete with a 3D composite
model with ellipsoidal inclusions subjected to uniform shrinkage strains of the matrix,
obtaining rather crude approximations (cracking was not considered in the simulations).
In (Tsubaki et al., 1992), a smeared crack approach is introduced in the meso-level
simulations, with very regular and coarse particle (represented by circles) distribution,
to study drying shrinkage. Although the simulations were very qualitative, they
identified internal cracking around the aggregates, in agreement with experimental
observations (see Chapter 3).
Figure 2.2. Mesostructural representations of the drying process of a composite: (a)
special FE mesh for moisture diffusion in concrete and (b) results presented as iso-
hygral curves (from Roelfstra et al., 1985); (c) typical moisture distribution in a lattice
model, showing saturated aggregates and dried matrix (Schlangen & van Mier, 1997).
To the author’s knowledge, there does not seem to be in the literature any
continuum-based model at the meso-level able to tackle coupled analysis of concrete
using exactly the same finite element mesh for the mechanical and the moisture
diffusion analyses. A meso-level study of the alkali-silica reaction has been recently
proposed (Comby, 2006), although the FE analysis was purely mechanical, and no
transport model seems to have been included in the analysis.
As already pointed out, there is nowadays a large number of different
mesomechanical models dealing with the geometry generation and meshing algorithms
in very different ways. Most of them may be included into the following three broad
groups of meso-models: continuum-based, lattice type and particle models. As it may be
expected, they all have their advantages and disadvantages, and in the following a brief
review and comparison is given.
9
2.2.1. Lattice models
Lattice models are characterized by a grid of rod elements, generally forming
triangular shapes (Schlangen & van Mier, 1992; Bolander et al., 1998; Lilliu & van
Mier, 2003; van Mier & van Vliet, 2003; Grassl et al., 2006), but also with a rectangular
scheme (Arslan et al., 2002; Ince et al., 2003; Leite et al., 2004), which represents the
continuous medium in a simplified manner (see figures 2.3 and 2.4). These rod elements
are able to transfer moments, axial and shear forces. In order to obtain the final finite
element meshes, any desired geometry may be superimposed on top of the grid, thus
defining different mechanical properties for rods falling in the aggregate, matrix or
interface (between the two) domains, as shown in figure 2.3a,b. This method yields a
great freedom for aggregate distribution and shapes. Although any aggregate shape
could in principle be superimposed, circular (2D) or spherical (3D) shapes have been
preferred in the literature, thus neglecting any aggregate angularity effect (Schlangen,
1993; Bolander, 1998; van Mier et al., 2002; Leite et al., 2004). An advantage of
adopting such a shape is that a statistical analysis may be performed to extract a 2D
representation of a given three dimensional aggregate distribution, like for instance the
Fuller curve (Walraven, 1980).
One of the main disadvantages of the lattice representation is an imperfect shape of
the resulting stress-strain curves (see figure 2.3c) showing sharp drops due to beam
removal (when tensile strength is reached), although some improvements have recently
been made in this respect (Ince et al., 2003). Also, the element removal strategy usually
employed to simulate cracking does not account for possible crack closure, and does not
guarantee in general calibrated fracture energy consumption. Another drawback is that
the length of the beam elements has to be smaller (approximately by three times, see
Schlangen, 1993) than the smallest aggregate represented in the mesh, thus increasing
considerably the number of degrees of freedom in the calculation (see also figure 2.4a).
It should be noted that the elastic properties of the composite strongly depend on the
regularity of the lattice scheme (van Mier, 1997), yielding for example a zero Poisson’s
ratio for a regular square lattice.
Figure 2.3. Lattice model main features: (a) overlaying of a triangular lattice on top of a
circular aggregate array geometry; (b) identification of material law assigned to each
beam element; (c) typical smoothening of a force–displacement diagram obtained from
a lattice simulation; (d) different lattice types (a, b & c taken from Lilliu & van Mier,
2003, and d from Ince et al., 2003).
Finally, despite reasonable approximations have been achieved for the moisture
diffusion uncoupled analysis in concrete or mortar by considering lattices as conductive
10
pipes (Sadouki & van Mier, 1997; Jankovic et al., 2001; Jankovic & Wolf-Gladrow,
2006), its applicability to diffusion-reaction problems has not been tested, and the
introduction of the influence of cracks on the diffusion process has not been attempted
and does not seem straightforward.
Figure 2.4. Lattice representation of the continuous medium. (a) Comparison of two
lengths of beams in a triangular lattice representing the same geometry (van Mier et al.,
2002); (b) concrete mesh represented by a square lattice grid (Ince et al., 2003).
2.2.2. Particle models
This type of model seems to have been first introduced for concrete by Bazant and
coworkers (Zubelewicz & Bazant, 1987; Bazant et al., 1990), based on some ideas of
the Distinct Element Method (DEM), proposed earlier for the study of granular
geomaterials (Cundall & Strack, 1979). From the viewpoint of the resulting numerical
analysis, the nature is similar to the lattice models described in the previous section, in
the sense that in both cases the resulting system is a reticulate beam structure. It is for
this reason probably, that some particle models have been recently presented in the
literature under the hat of lattice models (Cusatis et al., 2006), although in the present
case each lattice node corresponds to the center of one aggregate, and each beam
represents the behavior of the contact between two particles, therefore with a very
different meaning than the original lattice models described in the precedent section
(this is why the terminology of “particle model” seems preferable, while the choice of
the term “lattice” seems in this case unfortunate and even misleading). The particle
approach may be in general imagined as a random distribution of rigid particles,
corresponding to the aggregates (figure 2.5), separated by deformable interfaces
equipped with constitutive laws formulated in terms of forces vs. displacements (figure
2.5a,b), with a perfect brittle or softening behavior (Bazant et al., 1990; Jirásek &
Bazant, 1995; Cusatis, 2001; Cusatis et al., 2003; Cusatis et al., 2006). Other authors
use similar methods although the “particles” do not necessarily correspond to physical
aggregates, but to sub-domains randomly generated within the specimen or structure,
for instance using Voronoï/Delaunay theory. This is the case of the rigid-body spring
models (RBSM), which are included in this category (Kawai, 1978; Bolander & Berton,
2004; Berton & Bolander, 2006; Nagai et al., 2004), where zero-size springs are placed
along the boundary segments of rigid interconnected elements (figure 2.5c). Note
however, that, since the nodes are located at the particle centers, and the shear-normal
constitutive laws are established at some point at mid-distance between them, in particle
models the resulting constitutive laws for the beam may turn out complex constitutive
relations involving normal forces, shear forces as well as moments (and in 3D, perhaps
even also torsional forces).
11
Figure 2.5. Classical representation of particle models. (a) Typical arrangement of
circular aggregates and their corresponding truss members (from Bazant et al., 1990);
(b) detail of connection between particles and trusses (from Cedolin et al., 2006); (c)
typical crack pattern of RBSM under uniaxial tension (from Berton & Bolander, 2006).
The main advantage of these particle models is that they are not as computationally
expensive as the continuum-based models (see next section), although at the expense of
a simplification of the mechanical problem.
There are, however, also some drawbacks. A first one is of the conceptual type: the
main advantage of meso-level models with respect to macroscopic continuum analysis
(which is that by considering the more complicated meso or micro geometry, the
ingredients of the model and in particular the constitutive material laws, should be
simpler) may be partially lost. In effect, in the particle models the fictitious beam
constitutive model involving all 3 cross-sectional forces in 2D (or 6 in 3D) may be no
simpler (or in many cases, considerably more complicated and less physical) than the
traditional phenomenological constitutive laws for the macroscopic equivalent
homogeneous continuum.
Another disadvantage of particle models for concrete consists of the crack paths
which may be obtained. As pointed out before, the potential cracks in this approach
basically correspond to the contact planes between particles, which are in principle
perpendicular to the model “beams”. This may lead to crack patterns with relatively
unrealistic crack roughness at large scale (see for instance figure 2.5c from Berton &
Bolander, 2006). Under tensile-dominated loading, this artificial roughness may not
have a significant effect on the resulting overall load-displacement curves. In
compression behavior, however, small differences in roughness (and also apparently
minor details of the constitutive law) may have large effects on the overall response,
often leading to ever-increasing load-displacement curves, or, if this effect is
compensated by introducing a compressive failure of the beams (“crushing”), to
unrealistic microcrack patterns and incorrect lateral expansion or dilatancy effects (i.e.
volumetric curve in uniaxial compression test). This deficiency has been in fact recently
recognized by the original authors of the DEM, who have proposed new updated
versions of the approach in which additional shear-compressive failure lines or
mechanisms are superposed to the original particle structure in order to allow for the
right compression failure kinematics to develop in the overall boundary-value problem
(Cundall, 2008).
Finally, also the extension of particle models to diffusion-based phenomena has to be
mentioned. The particle model proposed by Bazant and coworkers has not been yet
extended to coupled problems, although time-dependent phenomena as creep in
concrete has been studied (Cusatis, 2001). The RBSM has been coupled with a random
12
lattice model for moisture movement, even though the analysis performed was
uncoupled, i.e. not considering the influence of cracking on the drying process
(Bolander & Berton, 2004). In a more recent study within the framework of the RBSM
(although not at the meso-scale), a coupled analysis considering the effect of cracks on
transport processes has been proposed (Nakamura et al., 2006). There is an evident
increase in the level of complexity of the model, since in this case two systems of truss
networks (in addition to the continuum Voronoï particles for the mechanical analysis),
one for the transport through the bulk concrete and the other for the flow through
cracks, have to be added for a correct representation of the coupled process.
2.2.3. Continuum models
The last family of mesostructural representations is the continuum-based models.
Most of the early models at this scale belong to this group (Roelfstra et al., 1985;
Stankowsky, 1990; Vonk, 1992; de Schutter & Taerwe, 1993; Wang & Huet, 1993 and
1997), and also the one which is the basis of this thesis (López, 1999; Caballero, 2005).
During recent years, a considerable number of scientific groups have developed
continuum models for studying either the meso-scale of concrete (Wang et al., 1999;
Tijssens et al., 2001; Wriggers & Moftah, 2006; Häfner et al., 2006; Comby, 2006;
Puatatsananon et al., 2008), mortar and cement paste and its pore structure (Bernard et
al., 2008), and other composites with ellipsoidal inclusions (Zohdi & Wriggers, 2001;
Romanova et al., 2005). One of the main advantages of these models is that they
represent composite materials in a more realistic fashion, considering continuum fields
of the state variables outside the cracking zone (figure 2.6). This is a powerful feature,
as compared to other meso-models, especially when diffusion-driven phenomena and
chemical reactions are to be analyzed. Another big advantage is that constitutive models
really get simplified in this case, consisting in the simplest case of the normal-shear
cracking laws along interface lines. Critics of continuum models often argue that their
computational cost is too high to be used in large scale simulations (Cusatis et al.,
2006). This is only partially true, because these comparisons to lattice or particle models
have been made on the basis of considering the same number and distribution of
discretized particles. But in the case of models based on Voronoï/Delaunay diagrams,
only the largest particles (say the upper third fraction) are considered explicitly in order
to represent the same material and its behavior. So far, it has been shown that this seems
sufficient, at least in the case of concrete, for capturing the main mechanical features
under a diversity of loading situations either in 2D (López et al., 2008; Rodríguez et al.,
2009) or 3D (Caballero, 2005; Caballero et al., 2006). The performance of the model for
its application to the analysis of coupled problems, including diffusion-driven
phenomena with chemical reactions, is evaluated in this thesis.
The main differences between the various existing continuum models lie on the
method used to create the geometries (see next sub-section), the way in which cracking
is represented, and the meshing technique for the generated particle arrangement.
Regarding the meshing techniques, aligned type of meshing is the most widely used, in
which the finite element boundaries are coincident with materials interfaces and
therefore there are no material discontinuities within the elements (Caballero et al.,
2006; Wang et al., 1999; Wriggers & Moftah, 2006). Nevertheless, some authors prefer
unaligned meshing, in which material interfaces may be positioned within a finite
element (Zohdi & Wriggers, 2001). Additionally, structured (Caballero, 2005;) or non-
structured meshing (typically based on a Delaunay triangulation, see e.g. Wang et al.,
1999, or Puatatsananon et al., 2008) may be chosen, although non-structured meshes
13
often yield a larger number of degrees of freedom for meshing the same geometry,
increasing the computational cost.
Figure 2.6. Different representations of continuum models. Crack patterns in a tensile
test on non-structured meshes (a) from Wang et al., 1999 and (b) from Tijssens et al.,
2001; (c) 3D crack pattern of a tensile test in a structured mesh (Caballero et al., 2006);
(d) 3D finite element mesh of concrete with spherical aggregates (Wriggers & Moftah,
2006).
2.2.4. Generation of geometries
Geometry generation is one of the most important points in a mesostructural
simulation, since this procedure has to be able to capture the (desired) heterogeneous
nature of the composite material, but at the same time lead to FE meshes that are not too
large and well conditioned for numerical analysis. The most popular methods for
generating the distribution of inclusions are the take-and-place method, with different
degrees of sophistication (Wang et al., 1999; Häfner et al., 2003; Wriggers & Moftah,
2006), the divide-and-fill method (de Schutter & Taerwe, 1993), the random particle
drop method (Vervuurt, 1997) and the Voronoï/Delaunay tessellations (Vonk, 1992;
López, 1999; Wang et al., 1999; Willam et al., 2005). Another important issue is the
shape of the particles. Highly detailed shape descriptions may be obtained by for
instance adding sinus functions to an ellipsoid (Häfner et al., 2003), although at a cost
of prohibitive mesh refinement. Usually, spherical or ellipsoidal shapes are preferred
when using the take-and-place or the divide-and-fill methods. On the other hand,
irregular polygons naturally result from the Voronoï/Delaunay tessellations, which are
closer in shape to natural aggregates, even though in some cases the resulting angularity
is excessive. The first two methods allow for highly controlled aggregate size
distribution to fit, e.g., a Fuller-type curve, either in 2D or 3D. This is not the case with
the Voronoï polygons where, although the aggregate volume fraction as well as other
geometrical properties may be perfectly controlled, the aggregate-size distribution is a
result of the numerical random procedure, in general leading to similar-sized particles
(of the same order of magnitude). Thus, the smaller particles are not explicitly
discretized with this procedure. In contrast, the angular inclusion shapes obtained with
the latter are somewhat more representative of concrete normal aggregates than the
spherical or ellipsoidal ones resulting from the formers.
The use of circular inclusions makes it possible, in principle, to extract representative
two-dimensional cross-sections from a three-dimensional arrangement of spherical
particles via statistical analysis (Walraven, 1980; Schlangen, 1993). The problem is that
the extraction of such a representative cross-section is not at all straightforward. Indeed,
it is not clear if a correct 2D representation should be calculated as a result of cutting
slices from a real 3D-arrangement (most of the 3D models proposed in the literature
14
have this capability, included the one presented in this thesis) or if on the contrary a
statistical evaluation should be performed to obtain a correct size distribution instead
(Häfner et al., 2003). In their early work, Roelfstra and coworkers proposed to obtain
representative 2D distributions by performing a large number of cutting planes on a 3D
arrangement from which they extracted an average distribution for the corresponding
size-grading curve (Roelfstra et al., 1985), although it appears that this approach has not
been followed in the literature.
The field of science dealing with the three dimensional interpretation of planar
sections is called stereology (originally defined as the spatial interpretation of sections).
It is based on basic geometry and probability theory. Although their fundamental
principles have existed for more than 300 years (see Stroeven & Hu, 2006 for a
historical review of the work by Cavalieri, Buffon and Cauchy), it is not until recently
that this collection of tools for geometric measurements has started to be regarded as a
real possibility for concrete researchers and technologists. This may explain why, to the
author’s knowledge, there is no single work dealing with mesostructural computational
modeling of concrete behavior that considers stereology as a way to obtain more
information on the geometries to be used (with the exception of Li et al., 2003). The
main principle of stereology associated with inferring geometrical properties of 3D
composites from the observation of 2D sections is that the volume fraction of inclusions
is equal to the area fraction in a 2D section of the same composite (Delesse, 1848). The
validity of this principle depends only on the randomness of the plane with respect to
the structure of the material, and not at all on the shape of the inclusions and their
distribution within the matrix (Russ, 1986). It must be emphasized, however, that there
is an important statistical problem of sampling: a considerable number of sections may
be required to be analyzed in order to determine the mean volume fraction and the
standard deviation. This means that a random section of the composite will not, in
general, have an area fraction equal or close to the volume fraction. Nonetheless, the
validity of this principle is of great relevance for two dimensional representations of real
bodies. Unfortunately, the only quantity that may be extracted without any a priori
hypothesis is the volume fraction. For all the other parameters, such as shape or size
distribution, assumptions have to be introduced in order to extrapolate 2D observations
to 3D representations (Moussy, 1988). Thus, the selection of a representative planar
section remains a difficult choice.
This difficulty, together with the fact that two-dimensional simulations cannot
capture the nonlinear three dimensional effects as bridging and branching of cracks in
the out-of-plane direction (which is known to yield a more brittle material for the 2D
case as compared to the real one) make the quantitative analysis of concrete in 2D a
very hard task. Instead, and until 3D simulations are readily available, 2D simulations
may be used for studying new phenomena and test new models at this scale. This is
what is intended in this thesis. Although quantitative analysis is also pursued, 2D
simulations have allowed us to focus on modeling aspects rather than on computational
efficiency.
2.3. Crack modeling strategies
Modeling of crack formation and propagation has been a topic of major importance
over the last 50 years and its progress has been notorious (Bazant, 2002; Cotterell,
2003; Gdoutos, 2005). Concrete mechanics has been an important driving force in this
sense during the last three decades. This is in part due to the intricate nature of cracking
15
in concrete, where heterogeneities play an important role (Bascoul, 1996). Most models
for crack formation and propagation rely on Fracture Mechanics principles, either
classical linear elastic fracture mechanics (LEFM) or nonlinear fracture mechanics
(NLFM). However, these principles are often superimposed onto a constitutive
representation based on damage mechanics, plasticity theory or a combination of the
previous. In practice, most cracking models may be grouped into two categories: the
discrete crack approach and the smeared crack approach. Finally, the discrete crack
approach followed in this thesis is based on the used of zero-thickness interface
elements, the key ingredient of which is the constitutive model. All these aspects are
reviewed in the following subsections. However, this chapter is not intended to review
in detail classical continuum-type constitutive modeling such as damage or plasticity.
For this topic, the avid reader is referred to the syntheses made in other theses of the
group (López, 1999; Caballero, 2005) or to any advanced mechanics textbook.
2.3.1. Fracture principles: LEFM vs. NLFM
Given the quasi-brittle nature of concrete, at least under low levels of confinement,
fracture mechanics appears as the most straightforward tool to represent its behavior.
The first applications in this field considered LEFM, in which the strong assumption is
implied that energy dissipation occurs only at the crack tip while the rest of the body
remains linear elastic. However, this hypothesis is only reasonable when the zone
affected by cracking is small enough as compared to the total structure, as in the case of
fracture in dams, but in general its use is very limited in heterogeneous materials such
as concrete, mortar or rocks. In reality, either in metals or concrete, nonlinear zones of
varied size develop at the crack tip. The difference is that in ductile or brittle metals the
material in the nonlinear zone undergoes hardening or perfect plasticity, whereas in
concrete the material undergoes softening damage. This last kind of materials is called
quasi-brittle since, although no appreciable plastic deformation takes place, the size of
the nonlinear region is large enough and needs to be taken into account, whereas in
brittle materials the size of the nonlinear region is negligible and LEFM applies
(Gdoutos, 2005). This is one of the main differences between LEFM and NLFM, in
which a finite fracture process zone (FPZ) exists, where the material behaves
inelastically. This was first proposed for concrete by Hillerborg et al. (1976) with their
celebrated Fictitious Crack Model (FCM), based on previous work in metals by
Dugdale (1960) and Barenblatt (1962). Almost simultaneously, Bazant and coworkers
(Bazant, 1976; Bazant & Oh, 1983) proposed the Crack Band Model (CBM), within the
same line. The main difference between these two models is that the FCM considers
that crack formation from a microcracked state may be reduced to a zero-thickness line,
whereas the crack band model considers a finite width of the zone affected by cracking
(figure 2.7). Moreover, NLFM has the advantage over LEFM of presenting a more neat
formulation readily available for finite element implementation due in part to the stress
singularity at the crack tip in the latter. This singularity in the stress field also requires
highly dense meshes near this zone, limiting in this way its applicability to the cases
where the direction of crack propagation is known a priori, or, alternatively, requiring
advanced remeshing techniques.
16
Figure 2.7. Cohesive crack concept versus crack band concept. (a) representation of the
stress distribution ahead of the crack tip according to the cohesive crack model (from
Gdoutos, 2005); (b) actual crack morphology and crack band model (from Bazant &
Oh, 1983).
2.3.2. Discrete vs. smeared crack approach, and more recent developments
An essential feature of crack modeling techniques within the framework of NLFM is
the selection of the crack representation, either by a discrete crack approach (Ngo &
Scordelis, 1967), in which each crack is explicitly represented as a discontinuity in the
continuum mesh, or a smeared crack approach (Rashid, 1968), in which cracks are
considered to initiate and propagate within the finite elements representing the
continuum. A complete review and a comparison of both approaches can be found
elsewhere (de Borst et al., 2004; López, 1999). Here, it is only intended to highlight
some essential aspects of both techniques.
In principle, the discrete crack approach aims at capturing initiation and propagation
of dominant cracks, whereas the smeared crack approach considers that many small
cracks nucleate and finally coalesce into a dominant crack. Experience in the use of the
discrete crack approach to simulate fracture of concrete at the meso-level (López, 1999;
Caballero, 2005) has shown that this method is also suitable for simulating diffuse
microcracking to finally form one or several macrocracks, including the typical bridging
and branching effects and crack arrest by hard particles in cementitious materials under
different loading situations. In the context of the discrete crack approach, the FCM
(Hillerborg et al., 1976), generally referred to as the cohesive crack concept, can be
introduced naturally into a FE environment by using zero-thickness interface elements
equipped with a fracture-based constitutive law (Carol et al., 1997). Mesh bias may
appear due to the fact that cracks are forced to propagate along element boundaries
(Tijssens et al., 2000; de Borst et al., 2004). To overcome this defect, automatic
remeshing may be implemented, although at the cost of considerably increasing the
model’s complexity and computational cost. A second possibility is introducing
potential cracks in all lines in the mesh (or a sufficient number of them), which is the
approach followed in the present work (Carol et al., 2001). A research topic within the
group aims at creating algorithms for introducing interface elements only when crack is
about to initiate in a line, in order to optimize CPU time.
17
In the smeared crack approach, cracking is represented, together with the underlying
continuum behavior, via an overall stress-strain law, i.e. via an equivalent constitutive
model representing the average behavior of continuum plus cracks (see e.g. Rots, 1988).
This approach, first advocated by Bazant & Oh (1983) under the name of the Crack
Band Model for concrete, at first sight exhibits the attractive feature that it can be
implemented into a FE code as any other standard constitutive law. This is probably one
of the most important reasons that explain why smeared representations have usually
been preferred in the literature. In fact, it can be shown that smeared crack models can
be recovered from damage models, providing the damage variables are well identified
(Pijaudier-Cabot & Bazant, 1987; de Borst, 2002; de Borst et al., 2004). Moreover, this
approach is also suitable for studying initiation and propagation of shear bands.
However, the smeared approach leads inevitably to overall constitutive representations
with softening, with the associated objectivity problems linked to mesh refinement. In
fact, it has been shown that local models (in which the internal and field variables are
defined locally in the mesh) exhibit strong mesh sensitivity. The solution of these
problems requires a regularization of the finite element analysis, in order to account for
the size of the finite elements through which the crack is propagating (de Borst, 2002),
which is not straightforward at all. To this end, nonlocal models (Pijaudier-Cabot &
Bazant, 1987; Tvergaard & Needleman, 1995) as well as special forms of nonlocal
models with gradient enhanced terms have been proposed (Lasry & Belytschko, 1988;
de Borst et al., 1995; Peerlings, 1999). Although these models reduce some of the
problems of local models, their implementation into a FE environment necessitates the
definition of a new finite FE discretization for each increment where crack growth
occurs (Peerlings, 1999). In contrast to smeared models, regularization of the mesh is
not needed in the discrete crack approach, where the width of the crack line is zero. This
allows the formulation of crack behavior to be done in terms of stresses and relative
displacements of the crack faces, which is usually introduced via zero-thickness finite
elements (see next section for references). Finally, it should be noted that also in the
smeared crack approach a mesh bias could be introduced if cracks propagate in
directions different from those of the mesh lines and no remeshing technique is used
(Cervera & Chiumenti, 2006).
A final comment should be devoted to recent computational techniques developed to
represent fracture. In the early 90’s, continuum-based methods under the general name
of embedded discontinuity approach, in which the deformational capabilities of the
finite elements are enhanced, were proposed (e.g. Dvorkin et al., 1990; Simo et al.,
1993; Oliver, 1996). The purpose is to capture better the high strain gradients inside the
crack bands in a more accurate way. Within this concept, two main possibilities have
been explored (de Borst et al., 2001). In the first one, the so-called strong discontinuity
appoach, there is a discontinuity in the displacement field and localization takes place
in a discrete plane (in 3D) (e.g. Dvorkin et al., 1990; Simo et al., 1993; Lotfi & Shing,
1995; Larsson & Runesson, 1996; Oliver, 1996). In the second approach, called the
weak discontinuity model, energy dissipation occurs in a zone of a finite thickness with
a strain that is different from that of the surrounding medium. The discontinuity is now
introduced in the displacement gradient, being the displacement field now continuous
(e.g. Ortiz et al., 1987; Belytschko et al., 1988; Sluys & Berends, 1998). However,
these two approaches were later proven to be equivalent to smeared crack models, thus
presenting many of their disadvantages, as e.g. the sensitivity of crack propagation to
the direction of mesh lines (Wells, 2001).
18
A recently developed approach, introduced by de Borst and coworkers (Remmers et
al., 2003; de Borst et al., 2004), is the cohesive segments method, which exploits the
partition-of-unity property (Belytschko & Black, 1999) for the finite element shape
functions. This method seems to eliminate mesh sensitivity and appears as a powerful
tool to represent multiple cracks and bridging effects, including the advantages of both
discrete and smeared crack approaches, although it is still under development and its
application is still rather limited (de Borst et al., 2004).
Another recent technique is the extended finite element method (XFEM), in which at
the onset of cracking, nodal variables and displacement fields are duplicated in the
elements implied, similar to overlapping elements with one layer attached to the
continuum on each side of the crack (Jirásek & Belytschko, 2002).
Most these techniques, however, also inherit some problems from the underlying
smeared approach they try to improve. On one side, the continuity of the crack is not
explicitly enforced through elements, thus, to obtain a clean crack path, some
underlying ad-hoc technique not based on fundamental mechanics principles (“tracking
algorithm”) is required to do the job behind the scene. On the other side, and as a
consequence of that, only one or two (or at most a few) cracks can be handled at the
same time, while the possibility of representing a bridging, branching and complex
states of cracking remains limited.
2.3.3. Constitutive modeling for interface elements
There is a vast literature on constitutive modeling of crack initiation and propagation
within the framework of the discrete crack approach represented by zero-thickness
interface elements (usually formulated in terms of stresses and crack opening
displacements). The most classical applications lie in the field of rock mechanics, for
studying the behavior of existing discontinuities in rocks (Plesha, 1987; Gens et al.,
1990; Qiu et al., 1993; Giambianco & Mroz, 2001), concrete mechanics (Stankowski,
1990; Carol et al., 1997; Jefferson, 2002; Willam et al., 2004; Puntel et al., 2006),
failure of masonry structures (Lourenço, 1996; Giambianco & Di Gati, 1997;
Gambarota & Lagomarsino, 1997), seismic and safety analyses of arch dams (Hohberg,
1995; Carol et al., 1991; Lau et al., 1998; Ahmadi et al., 2001; Azmi & Paultre, 2002)
and delamination analysis of laminated composites (Schellekens & de Borst, 1994;
Allix et al., 1995; Chaboche et al., 1997; Alfano & Crisfield, 2001; Jansson & Larsson,
2001; De Xie & Waas, 2006). Plasticity theory has been traditionally used in the early
models (Plesha, 1987; Carol et al., 1997; Lourenço, 1996; Schellekens & de Borst,
1994). In general, successful applications have been obtained at least under monotonic
loading. The main disadvantage of plasticity applied to interface elements is its inability
of representing the crack closure on unloading, although for some applications this is
not a fundamental feature. Some authors have tried to keep the plasticity formulation
format while introducing secant unloading in an ad hoc manner (Cervenka et al., 1998;
Schellekens & de Borst, 1994) for special cases of analysis. In this way, neither the
consistency of the model nor energy conservation under elastic arbitrary loading paths
is ensured. This has been remedied by different models within the framework of damage
mechanics, thus yielding full recovery of the crack opening displacements on unloading
(Allix et al., 1995; Chaboche et al., 1997; Alfano & Crisfield, 2001; Jansson & Larsson,
2001). The main drawbacks of damage models for interface elements are the numerical
difficulties brought by stiffness recovery when passing from tension to compression and
that they do not show the freedom of plasticity models to correctly represent dilatancy
from phenomenological bases. In addition, cracking phenomena in concrete and other
19
quasi-brittle materials are often more complex and none of these two theories is able to
represent the fact that on unloading the real behavior shows intermediate stiffness
values between secant and elastic ones. This clearly indicates that a correct and sound
representation from a physical point of view of the crack propagation and initiation with
interface elements should consider a convenient mixture between plasticity and damage,
as already proposed for continuum models (see e.g. Luccioni et al., 1996 or Armero &
Oller, 2000).
The work of Desai and coworkers and their Disturbed State Concept (Desai & Ma,
1992; Desai, 2001) is in this direction. They proposed to divide the total surface (in 3D)
of a crack or interface into an intact material part and a critical material part, each one
with its own constitutive behavior, thus differentiating from classical damage models.
To compute the proportion corresponding to each part they introduced a disturbance
function (going from zero to unity) depending on an internal variable. Unfortunately, in
their work they only considered the case of shear-compression loading (plastic shear
displacements are used as internal variable) and no reference is made to the tensile
regime. A recent plastic-contact-damage model for interface elements has been
proposed by Alfano and coworkers (Alfano et al., 2006; Alfano & Sacco, 2006),
enabling to obtain an intermediate crack opening and stiffness on unloading. The basic
idea of this model is the coupling in parallel of a damage model and a plastic-contact
model. The first one governs the proportions of undamaged material (with linear elastic
behavior) and the damaged part, the latter with a sliding frictional behavior. Unilateral
contact condition is treated in a special manner. Finally, the work by Jefferson and his
Tripartite Cohesive Crack Model is worth mentioning (Jefferson, 2002). In this model,
the nature of the problem is very well understood, although the resulting formulation is
of high complexity due in part to its purpose of simulating fully experimental cyclic
uniaxial loading of concrete specimens.
In the present study, a discrete crack approach with zero-thickness interface elements
has been adopted throughout. The constitutive model is formulated within the
framework of classical plasticity theory, introducing some NLFM concepts governing
crack evolution, and is described in detail in the following sections. The constitutive law
used in the interface elements is one of the most important aspects in the modeling of
the mesostructure as proposed in this work, since it is here where most of the
calculation time is spent (together with the calculation of the inverse of the global
stiffness matrix), and also where the nonlinearity is introduced in the model. The main
features of the interface element time-independent constitutive law will be introduced in
the next section. In section 2.5, a complete formulation of the time-dependent
constitutive law that accounts for the aging effect will be given.
2.4. Description of the model by Carol, Prat & López (1997)
2.4.1. Generalities
The constitutive model for interface elements that accounts for the aging effect has
its origins in the formulation originally proposed in the early nineties within the
research group (Carol & Prat, 1990), and later modified and improved in subsequent
publications (Carol et al., 1997; López, 1999; Carol et al., 2001; Caballero, 2005;
Caballero et al., 2008). The model is formulated in terms of the normal and tangential
stress components in the mid plane of the joint and the corresponding relative
displacements:
20
[ ]tN T,= σ σσ (2.1)
[ ]tN Tu ,u=u , with t = transposed (2.2)
It is based on the theory of elasto-plasticity and introduces nonlinear Fracture
Mechanics concepts in order to define the softening behavior due to the work dissipated
in the fracture process, crW .
The original model (Carol et al., 1997; López, 1999; Carol et al., 2001) exhibited the
shortcoming of potential convergence problems due to a non-smooth plastic potential
when changing from tension to compression (or vice versa), and to evolution laws with
discontinuous derivatives in the limiting cases 0crW = and cr IFW G= (or IIa
FG ,
depending on the parameter considered). Moreover the integration algorithm was based
on the mid-point rule and a non-consistent tangent matrix (López, 1999). In a later
version (Caballero, 2005; Caballero et al., 2008), some of these problems were fixed, by
adopting evolution laws for the main parameters with continuous derivatives in all the
range, a continuous plastic potential and a consistent tangent formulation (with
quadratic convergence rate), with an implicit backward Euler scheme, based on the
work by (Pérez Foguet et al., 2001). The convergence rate is in this way greatly
improved, at the expense of changing completely the plastic potential (which is in this
case given by a second hyperbola).
In this work, a similar model to the original proposal in 2D is used (Carol et al.,
1997), with the difference that it incorporates the main aspects of the improved
numerical framework (Caballero, 2005), namely the implicit backward Euler integration
scheme with a consistent tangent matrix. Refinements have been introduced on the
evolution laws and the plastic potential in order to improve the convergence without
loosing consistency.
A comparison with different models for zero-thickness interface elements proposed
in the literature, as well as a constitutive verification for different loading situations,
may be found elsewhere (Carol et al., 1997; López, 1999; Caballero, 2005; Puntel,
2004). In the following, the fundamentals of the model formulation are summarized.
2.4.2. Cracking surface and the elastic regime
The fracture surface (or yield surface) is defined by a hyperbola of three parameters in
stress traction space, as it is shown in figure 2.8a, and can be expressed in the following
way
( ) ( )2 22T NF c tan c tan= σ − − σ ⋅ φ + − χ ⋅ φ (2.3)
or, more conveniently for the numerical implementation, since only the branch of the
hyperbola with physical meaning is kept (Caballero, 2005; Caballero et al., 2008), as
( ) ( )22 0N TF c tan c tan= − − σ φ + σ + − χ φ = (2.4)
In this expression, the three parameters involved are χ (tensile strength), c (apparent or asymptotic cohesion) and tanφ (asymptotic friction angle). The initial values of the
hyperbola parameters determine the initial configuration of the fracture surface,
represented by curve “0” in figure 2.8c. Once the fracture process has started, the failure
surface contracts due to the decrease of the main parameters, according to some
evolution laws based on the work dissipated in the fracture process, crW . In order to
21
control the fracture surface evolution, the model includes two Fracture Mechanics-based
parameters, namely the fracture energy in mode I, IFG (pure tension), and a second
fracture energy in mode IIa, denoted as IIaFG , defined by a shear state under high
compression level, so that dilatancy is prevented (schematically shown in figure 2.8b).
In the case of a pure tensile test, the final fracture surface is given by a hyperbola with
the vertex coinciding with the origin in the stress space (curve “1” in figure 2.8c). Under
a shear/compression load, the final state, reached when 0c = and rtan tanφ = φ ( rtanφ
represents the residual internal friction angle), is defined by a pair of straight lines
representing the pure residual friction state (curve “2” in figure 2.8c).
Figure 2.8. Crack laws: (a) hyperbolic cracking surface F and non-associated plastic
potential Q; (b) fundamental modes of fracture; (c) evolution of cracking surface.
With the purpose of a clearer representation of crack patterns in mesostructural
simulations (see e.g. Chapter 4, section 4.5.2.), it is useful to define the following states
for the integration points:
- If 0crW = and 0F < then the integration point has never been loaded (and is
not considered as an activated interface or Gauss point in the results);
- If 0F = then the integration point is under plastic loading (and in the results
it is considered as an active crack, usually assigned a red color);
- If 0crW > and 0F < then the integration point is under elastic unloading (and
in the results is considered as an arrested crack, usually assigned a blue
color).
Interface elements in the elastic regime, i.e. before cracking starts, should not add
any extra elastic compliance. Therefore the elastic stiffness, defined by KN (normal) and
KT (tangential) in a 2x2 diagonal matrix (implying that there is no dilatancy effect in the
elastic region), must be set as high as possible in order to minimize this extra
compliance (representing a lower bound for the stiffness values). In this way, the elastic
constants have the character of penalty coefficients which are necessary to calculate the
interface stresses. The upper bound for these values must be set as a compromise
between the added compliance and the numerical instabilities found for very high values
(leading to very large trial stresses). Thus, it is important to know the minimum values
for KN and KT (usually KN = KT is considered) that have to be input in the model in
order to have negligible elastic relative displacements of the interface element. Figure
2.9 shows a simple study of this type, in which two identical meshes at the meso-level
of 10x10cm2 (shown in figure 2.9) have been loaded in compression in the elastic
22
regime, with the only difference that one of these meshes does not include interface
elements (which will serve as a reference case) and the other does. The idea is to find
the minimal values of the stiffness matrix of the interface elements that produce a global
stiffness matrix of the mesostructure with a negligible difference with the reference
case. It can be observed in figure 2.9a that for values of the parameter r (giving the
relation of the interface stiffness to the most rigid continuum phase stiffness over the
specimen length, in this case the aggregates with Eaggr. = 70,000MPa, and the specimen
length is 10cm) higher than roughly 1,000, the approximation is very close to the
reference case. The same conclusion can be drawn from figure 2.9b. The following step
has been to confirm that the numerical performance of the constitutive law is also
satisfactory for these values, in the case of a nonlinear analysis.
Figure 2.9. Influence of the interface element stiffness on the mesostructure global
stiffness (corresponding to the mesh on the right, size is 10x10cm2): for different values
of KN and KT, represented by the parameter r (relation between KN = KT and the elastic
modulus of the aggregates over the specimen length), and for the same case but without
interface elements.
2.4.3. Plastic potential: flow rule and dilatancy
As in classical plasticity theory, an additive decomposition of interface relative
displacements into a reversible (elastic, e) and an irreversible component (cr) is
assumed
δ = δ + δe cru u u (2.5)
23
The inelastic part has to be defined in magnitude and direction, which is done by the
introduction of a plastic potential Q and the plastic multiplier λ:
( ) ( )Q , p, p
∂δ = δλ = δλ ⋅
∂cr
σu m σ
σ (2.6)
where m is the flow rule, or partial derivative of the plastic potential with respect to the
stresses. Typically, in heterogeneous materials such as concrete, crack paths exhibit
irregularities due to a tendency to propagate through the weakest parts of the material
(e.g. the interfacial transition zones). Due to this effect, shear stresses induce an aperture
of the crack faces in addition to the sliding between them, phenomenon known as
dilatancy. In order to determine the direction of this deformation (i.e. the dilatancy
angle), a non-associated plastic potential Q is adopted (i.e. Q ≠ F) and its derivatives
with respect to stresses, denoted as m, define the flow rule (figure 2.8a).
In the original formulation (López, 1999), an associated flow rule (i.e. Q = F) in
tension and a non-associated one in compression was considered, in order to eliminate
dilatancy for high levels of compression, determining a discontinuity in the flow rule
when passing from tension to compression (or vice versa). As a consequence, the
numerical convergence under tension-shear/compression-shear states was negatively
affected. For this reason, a later proposal (Caballero, 2005) introduced a different
hyperbola for the plastic potential (i.e. highly non-associated in the whole range of
normal stresses, except in pure tension), maintaining in this way the continuity of the
flow rule.
In this thesis, it has been decided to keep a relation between the fracture surface and
the plastic potential as in the original model (and thus the relation between n and m,
being n the normal to the fracture surface), but extending the non-associativity also to
the tensile regime. To this end, the plastic potential is made dependent on the energy
spent in fracture (i.e. the internal variable, see next section), normalized with the
fracture energy in mode IIa, yielding the following expressions
= ⋅m A n , with
( )T
T
F
c χ22
tan
tan
φσ
σ φ
∂= = ∂ + − ⋅
nσ
(2.7)
and where:
1 0
0 1
cr
IIa
F
W
G
− =
A , if N 0σ ≥ (2.8)
or
1 0
0 1
crdil
IIa
F
Wf
G
− ⋅ =
Aσ
, if N 0σ < (2.9)
The term ( )1 cr IIaFW G− is continuous when passing from tension to compression (or
vice versa), which has enhanced the convergence of the model in the critical tension-
compression zone, and is consistent from a physical point of view, since a lower
24
dilatancy is to be expected as the material starts softening. Note that the non-
associativity is not excessive in shear-tension, since the term ( )1 cr IIaFW G− takes a
minimum value of 0.9 when cr IFW G= (if 10IIa I
F FG G= ). Also, the model is initially
associated in tension, when the energy dissipated is zero, or throughout the loading
process if there is no shear stress (i.e. under pure tensile load).
As mentioned above, a non-associated formulation is adopted for the plastic
potential, so that dilatancy decreases progressively with the degradation of the joint (as
described above) and also with the increase in the compression level (σ →σdil in figure
2.8a, as in Carol et al., 1997). These effects are taken into account by a reduction of the
normal component of the derivative of Q, as can be seen in expressions 2.8 and 2.9.
Coefficient dilfσ accounts for the level of compression and takes the following form
( )1dilf Sσ ξ= − (2.10)
with
( ) ( )1 1
eS
e
−
−=
+ −
α
α
ξξξ (2.11)
and
N dil=ξ σ σ (2.12)
The scale function S provides a family of different evolution curves, depending on the
adopted value of the shape coefficient α, which is defined in this case as dilσα (figure
2.8a).
2.4.4. Internal variable
The model assumes that the evolution of the fracture surface is governed by one
single history variable, given by the energy spent in fracture processes ( crW ) and is
defined incrementally as (López, 1999; Carol et al., 2001)
d cr cr cr
N N T TW u u= σ ⋅δ + σ ⋅δ , if N 0σ ≥ (2.13)
d 1cr cr NT T
T
tanW u
σ ⋅ φ= σ ⋅δ ⋅ − σ , if N 0σ < (2.14)
in which cr
Nuδ and cr
Tuδ represent the increments of the relative displacements in the
normal and tangential directions, respectively. These expressions imply that all the
energy spent in the tension/shear zone comes from fracture processes, whereas in the
compression/shear zone the contribution to crW is given by the work spent in shear,
from which the pure friction is subtracted (Carol et al., 1997; López, 1999).
2.4.5. Evolution laws for the hyperbola parameters
As previously outlined, the evolution of the fracture surface is governed by the
energy spent in the fracture process. The degradation of the single hyperbola parameters
is shown in figure 2.12 and formulated in the following (López, 1999; Carol et al.,
2001). For the case of the tensile strength, the evolution law reads
25
( )0 1 S χ χ = χ ⋅ − ξ (2.15)
with:
cr
I
F
W
Gχξ = (2.16)
The evolution of the apparent cohesion is linked to that of tensile strength, in order to
avoid inconsistent behavior in the tension/shear zone (López, 1999), by introducing a
parameter a, representing the horizontal distance between the updated hyperbola vertex
and its asymptotes:
( )c a tan= χ + φ (2.17)
Parameter a varies between an initial value a0 and zero, when cr IIa
FW G= , as can be
deduced from figure 2.10.
Figure 2.10. Fracture surface parameters, including parameter a.
Accordingly, the evolution of the apparent cohesion yields
( )( ) ( )( )0 01 1 ac S a S tanχ = χ − ξ + − ξ φ
(2.18)
with:
cr
a IIa
F
W
Gξ = (2.19)
Finally, the evolution of the internal friction angle is given by
( ) ( )0 0 rtan tan tan tan S φφ = φ − φ − φ ξ (2.20)
with
cr
IIa
F
W
Gφξ = (2.21)
and rφ is the residual value of the friction angle, as shown schematically in figure 2.11.
26
Figure 2.11. Schematic representation of the variation of the fracture surface when
considering the evolution of the internal friction angle.
Figure 2.12. Softening laws for χ and c (left) and softening law for tanφ .
It has also been suggested to generalize the parameter χξ for the evolution of χ by the following expression (López, 1999):
1 2
cr cr
I II
F F
W W
G Gχξ = + (a), with ( )1II I IIa
F F FG G G= −β ⋅ + β⋅ (b) (2.22)
in which the work dissipated in fracture is split into two parts for mode I and mode II.
Note that this expression requires the separation at every time of the different
contributions to the energy spent in fracture, and thus necessitates the implementation of
two internal variables. In this case, coefficient β (between 0 and 1) determines the
dissipated energy needed to wear out the tensile strength, so that a zero value would be
equivalent to the previous equation. However, for positive values a larger quantity of
energy has to be dissipated to exhaust χ. A study of the effect of the parameter β at the local level (i.e. at the constitutive level) and at the global one (in the mesostructure) has
been conducted in order to assess the impact on the global behavior. Results at the local
level are presented in figure 2.13, in which the evolution of the apparent cohesion c is
plotted against the dissipated energy. It can be observed that, since the evolution of c is
attached to that of χ (eq. 2.18), there is a kink in the curve, whose position depends on the value of β (note that for 1β = the discontinuity is eliminated). For 0β = , the tensile
strength wears out fast, yielding a strong discontinuity in the derivative of c with respect
to energy, yielding difficulties in the convergence. This is gradually fixed for increasing
values of the β parameter. However, the global effect consists (as it would be expected)
in a larger area under the stress-strain curve (i.e. a larger dissipated energy) with
increasing value of β, even producing an increase of the peak stress of around 30% in a
compression test. For this reason, in this work it has been decided to keep the original
expression 2.16 for the evolution of χ.
27
Figure 2.13. Evolution of the apparent cohesion as a function of dissipated energy
(normalized with fracture energy in mode IIa), for different values of parameter β, at the constitutive level: the position of the kink in the curve depends on the value of β (χ0 =
2MPa, c0 = 7MPa, tanφ0 = 0.6, GFI = 0.03N/mm and GF
IIa = 10GF
I).
2.5. Consideration of the aging effect in the constitutive model
In order to introduce in the model the effect of aging of concrete, represented by an
increase of the strength with time, the evolution of the main parameters of the fracture
surface with time is considered (χ, c), as well as the fracture energies IFG and IIa
FG (the
later assumed to be proportional to IFG ). To this end, a phenomenological approach is
adopted. A monotonic increasing function of the exponential asymptotic type is
introduced, as shown in equation 2.23 and plotted in figure 2.14 for different values of
the parameters (López et al., 2005; López et al., 2007).
( ) ( )p
k
A 1 e 0
t
t
0f t f t
− ⋅
= ⋅ ⋅ −
, with -k
1A=
1-e (2.23)
In the previous equation, ( )f t and ( )0f t are the values of the parameter considered
at time t (age of the material) and t0 (age at which the mechanical properties of concrete
are referred to, usually considered to be 28 days), respectively, p is a shape parameter of
the s-shape curve, and k is a parameter defining the relation between the final
asymptotic value of the function and its value at time t0. The effect of parameters p and
k is shown in figure 2.14, plotting the term in brackets of eq. 2.23 as a function of time.
As a result, the initial fracture surface (curve “0”) given at a certain age will expand in
time (to curve “1”), as shown in figure 2.15. It should be emphasized that in this first
version of the model, the aging effect is decoupled from the moisture diffusion analysis,
which is in fact a simplification of the real behavior. It is well-known that appropriate
moisture conditions have to be present for aging to occur. A dried material will in
general show no (or very little) increase in the mechanical properties with time. A future
version of the model should definitely include this effect by e.g. considering an
effective time in the exponential-type law, which would depend on the moisture level,
as already proposed in the past (Bazant & Najjar, 1972). There are also more advanced
models that introduce hydration and aging effects in a more sophisticated manner (see
e.g. Cervera et al., 1999).
28
Figure 2.14. Evolution of the parameters relative to the value of function f (representing
the term in brackets in eq. 2.24) at a sufficiently long aging period. (a) Effect of the
parameter p on the s-shape of the function. (b) Effect of the parameter k on the value of
f at t0.(t0 is equal to 28 days in the figure, and signaled with a dashed vertical line).
The consideration of the aging effect in the formulation allows for two counteracting
effects to act simultaneously within the model: on one hand the fracture surface at a
given time will be determined by the energy spent in the fracture process (if a
dissipative mechanism is activated), leading to softening of the surface; on the other
hand, the evolution of the main parameters in time (aging) will result in an expansion of
the fracture surface. These features allow for the modeling of a much more complex
resulting behavior of the joint element, since the updated fracture surface will depend on
the resulting combination of the loading state and the time interval considered.
Figure 2.15. Cracking surface considering the aging effect: evolution with time and
degradation due to energy spent in the fracture process.
2.5.1. Internal variable and evolution laws for the parameters
The energy spent in fracture processes ( crW ) has been defined in the previous
section. In the present case, considering time-dependent parameters, the internal
variable is more conveniently defined (incrementally) as
( )d
dcr
I
F
W
G tξ = (2.24)
29
The evolution of χ and c is defined in terms of the work dissipated in fracture
processes and the effect of time. In the case of the tensile strength, the expression is as
follows
( ) ( )0 1t S χ χ = χ ⋅ − ξ (2.25)
with:
( ) ( ) ( )0
0 0 0A 1p
k t / tt t e
χχ− ⋅ χ = ⋅χ ⋅ −
(2.26)
In the previous expression, 1χξ = ξ , with d1 0ξ = ξ + ξ , and ( )I
FG t given by
( ) ( ) ( )0
0A 1pGGk t / tI I
F FG t G t e− ⋅ = ⋅ ⋅ −
(2.27)
The evolution law for c may be written as:
( ) ( )( ) ( ) ( )( )0 01 1 ac t S a t S tanχ = χ ⋅ − ξ + ⋅ − ξ ⋅ φ
(2.28)
in which
( ) ( ) ( )A
paa 0k t / t
0 0 0a t a t 1 e− ⋅ = ⋅ ⋅ −
(2.29)
( ) ( )I IIa
a 1 F 0 F 0G t G tξ ξ= ⋅ (2.30)
For the evolution of the internal friction angle ( 0tanφ and rtanφ ), the same law as in
the time-independent version is assumed in this case (given by eq. 2.20), except that the
internal variable is in this case given by
( ) ( )I IIa
1 F 0 F 0G t G tφξ ξ= ⋅ (2.30)
Note that for the case of the evolution of parameters defined within the range 0 to
( )IIa
FG t , such as tanφ , the same internal variable is still used, since a constant relation
in time between ( )IIa
FG t and ( )I
FG t has been adopted due to lack of experimental data
(which is equivalent to assume equal values for the parameters of the evolution law in
time given in eq. 2.23). Thus, in these cases the expression used is I IIa
1 F FG Gξ ⋅ .
2.5.2. Formulation
The hypothesis of additive decomposition of the relative displacements is still used
in this case as starting point. Thus, the constitutive relation between stresses and relative
displacements of the joint can be written as
( )0 el 0 cr
i ij j ij j jK u K u -uσ = ⋅ = ⋅ (2.31)
in which 0
ijK is the (diagonal) elastic stiffness matrix of the joint. The irreversible
component of the relative displacements is given by
cr
ju∂δ = δλ ⋅∂ j
Q
σ (2.32)
with δλ representing the plastic multiplier, which can be determined through the acting
30
loading state, via the well-known Kuhn-Tucker conditions:
(a) 0δλ ≥ ; (b) 0Fδ ≤ ; (c) 0Fδλ ⋅δ = (2.33)
If 0δλ > then it corresponds to an elasto-plastic increment, and the Prager consistency
condition allows the derivation of the following expression
Hσ =
σ λ=λ =
∂ ∂δ = ⋅δ − ⋅δλ + ⋅δ =∂ ∂i ,t const
, consti ,t const
F FF σ t 0
σ t (2.34)
in which:
i
cr
, i j j
pH
p u
q
t const q
F F Q
σ =
∂ξ∂∂ ∂ ∂= − = −∂λ ∂ ∂ξ ∂ ∂σ
(2.35)
Parameter H is the plastic softening modulus, and pi refers to the different parameters of
the fracture surface. Note that equation 2.35 takes always a negative value causing the
contraction of surface F, driven by the variation of the hyperbola parameters as a
function of the internal variable. On the other hand, the term
i
i
p
t p t
F F ∂∂ ∂=∂ ∂ ∂
(2.36)
is characterized by the increase in strength as a consequence of the aging effect on the
hyperbola parameters χ and c.
Combining eqs. 2.31, 2.32 and 2.34, the plastic multiplier can be expressed in the
following way:
0 ik kj j
i
0
p pq q
pn K u t
p t
H n K m
F ∂∂δ + δ∂ ∂δλ =
+ (2.37)
Finally, the constitutive equation relating stresses and relative displacements of the
interface element is written as
( )0 0 0
ik k l lj ij j0 ri ij j0 0
p pq q rp pq q
K m n K K m pK u δt
H n K m p tH n K m
F ∂∂δσ = − ⋅δ − + ∂ ∂+ (2.38)
The numerical implementation (with internal sub-stepping) of the model is analogous
to the time-independent case, and may be found elsewhere (Caballero, 2005; Caballero
et al., 2008). The sub-stepping criterion adopted is equivalent to the one proposed in
(López, 1999).
2.5.3. Constitutive verification
In this section, two fundamental examples of the model response at the constitutive
(Gauss point) level are presented that illustrate the main features of the constitutive law
in relation to the combined effect of the fracture degradation and the increase in strength
as a function of time (López et al., 2005b).
2.5.3.1. Shear/compression test
This test consist of applying a constant compression stress (-1MPa) in a first step,
with loading ages of 28 and 280 days, and then gradually increase the shear relative
displacement (maintaining the compression stress at a constant level). Figure 2.16
31
presents the results of this test in terms of shear stresses vs. shear relative displacements
(and the corresponding fracture surfaces at different states identified with numbers 1 to
5 in the figure). For the cases of instantaneous loading, an increase of the peak value
when loading at 280 days instead of 28 days can be observed. After the peak value, a
softening branch is present, with a residual shear stress corresponding to the pure
frictional effect.
A second set of simulations is calculated as follows: at the age of 28 days a similar
loading history is applied to the joint, with the difference that, at 3 different points
falling in the softening branch (i.e. 3 different tests), the loading increment is suspended
until the material has an age of 280 days. At this time, the loading process is continued
until a residual state is reached. In figure 2.16, it can be observed that an increase in
strength is produced by the aging effect in the parameters χ0(t) and c0(t) (e.g. between
points 4 and 5 in the figure), until a second peak value is reached. In each case this
value is lower than the values corresponding to the softening branch of the
instantaneous curve at 280 days (at the same relative displacement), this difference
being larger for increasing shear relative displacements. This effect is due to the
damage-type nature of the internal variable of the model, which depends on the work
dissipated in the fracture process and on the updated state of the fracture energy
parameter involved (which is in turn a function of time.
0 0.2 0.4 0.6uT [mm]
0
2
4
6
8
σ T [M
Pa]
instantánea 28 diasinstantánea 280 dias
1
5
2
4
3
σN
σT
4
1
2
3
5
Figure 2.16. Constitutive behavior of the interface element for the case of a shear test
under constant compression, in terms of shear stresses and relative displacements: effect
of time.
2.5.3.2. Pure tensile test
In the second test, a positive normal relative displacement is incrementally imposed
at the constitutive level (tension test). Analogously to the previous shear/compression
case, two instantaneous tests at the ages of 28 and 280 days have been simulated, and
the case of 28 days has been repeated, only that in the latter the loading process is
interrupted at a certain level within the softening branch, as shown in figure 2.17. Once
the age of the material reaches 280 days, the loading process is continued until an
almost zero tensile strength. The constitutive behavior presents similar features to the
previous example, as observed in figure 2.17. It has been observed that in order to
32
obtain the desired effect, the value of the parameter p for the tensile strength evolution
must be lower than that for the fracture energy. Otherwise, the second peak after loading
is continued at 280 days may be higher than the stress corresponding to the softening
branch of the instantaneous loading at 280 days, leading to an inconsistent behavior
from a physical viewpoint.
Figure 2.17. Constitutive behavior of the interface element for the case of a pure tensile
test, in terms of normal stresses and relative displacements: effect of time.
2.6. Mesostructural continuum mesh generation in 2D
In this section, the stochastic procedure used throughout the thesis for generating the
2D geometries FE meshes (structured and aligned, see section 2.2.3.) that represents the
mesostructure of concrete (or alternatively mortar) is described. The input data for such
representation consist of fundamental parameters related to the mix design, such as
aggregate volume fraction (or number of aggregates) and aggregate size and shape
(rounded or with sharp edges), as well as some other parameters for controlling the
randomness of the generation process. The same procedure, with some particular
features in each case, has been extended, within the research group, to 3D mesh
generation for concrete (Caballero, 2005), 2D analysis of trabecular bone (Roa, 2004)
and to the problem of rocksanding production in oil wells in 2D (Garolera et al., 2005).
It should be emphasized that with this method only the largest aggregate particles are
represented, which corresponds to approximately one third of the total aggregate
volume for a typical sieve curve of a concrete with 75% aggregate volume fraction).
The procedure is based on the Delaunay triangulation theory and the subsequent
construction of the Voronoï polygons (exploiting the duality between these diagrams).
The mesostructure is discretized in two phases: one represents the largest aggregates,
and the second one is a matrix surrounding these aggregates, which in turn represents
the mortar plus smaller aggregates as an equivalent homogeneous medium.
Additionally, zero-thickness interface elements are introduced a priori in all the matrix-
aggregate contacts and also within the matrix, in some predetermined positions, in order
to represent potential crack propagation. The idea comes back to the work of Hsu and
coworkers (Hsu et al., 1963), which concluded that cracking in concrete starts at the
aggregate-matrix interface (due to the fact that this bond is usually the weakest part of
the material), and that the continuous crack trajectories propagate through the mortar
matrix, serving as a bridge for the previous family of microcracks.
The procedure for the geometry and mesh generation is as follows. Starting from a
predefined regular arrangement of points, the Delaunay triangle vertices (or,
33
equivalently, the geometrical centers of the Voronoï polygons) are obtained by a Monte
Carlo perturbation of this regular scheme (figure 2.18). Each polygon obtained in this
way will contain one (and only one) aggregate, generated by the contraction, in general
non-homothetic, of the segments radiating from the geometrical center of the polygon to
its vertices (Stankowski, 1990; Vonk, 1992; López, 1999). The contraction of each
polygon is governed by the previously mentioned input data and optionally by a random
shrinkage factor, allowing for obtaining a wider range of the final size distribution.
The following step is the addition of a rectangular frame, defining the total area and
the dimensions of the mesh, which is external to the polygons before the shrinkage
process, so that all the contracted polygons lie within this area. This allows for the
generation of meshes with a matrix layer of mortar and small aggregates in the entire
contour. This feature is particularly important when samples made with molds are to be
simulated, since in these cases an outer mortar (or cement paste) layer is present, usually
referred to as wall effect (see e.g. Kreijger, 1984 or Zheng et al., 2003). This is in
contrast to the core samples extracted from placed concrete, which in general cut the
aggregates. This last case may also be simulated with the same procedure, only that in
this case an internal frame is added to a larger geometry and all the elements falling
outside this frame are eliminated. Figure 2.18 shows the first four steps followed in
order to obtain the contracted polygons falling within an external frame.
Figure 2.18. Stochastic procedure for the geometry generation of a mesostructure (mesh
size is 15x15cm2, with 28% aggregate volume fraction and maximum size of 15,7mm):
(1) Monte Carlo perturbation of a regular arrange of points; (2) resulting Delaunay
triangulation; (3) dual Voronoï polygons; (4) contracted Voronoï polygons within an
external frame.
34
Next, the resulting geometry is divided into ‘macroelements’ for their subsequent
discretization into finite elements (a standard or “structured” mesh solution is
predefined for each type of macroelement, thus allowing a considerable simplification
of the overall process). To this end, three types of macroelements are defined:
- Type 1 macroelements, formed by the lines linking the vertices between
contiguous polygons (triangular and quadrilateral polygons may result,
depending on the specific macroelement geometry);
- Type 2 macroelements, formed by the space left by the contraction of two
polygons that shared one edge before contraction;
- Type 3 macroelements, defined by the contour formed by the external frame and
the outermost aggregates, and type 2 macroelements.
In figure 2.19, the pretreatment of the final geometry for subdivision into
macroelements is presented.
The macroelements and the aggregates are then discretized into continuum triangular
finite elements, with a different arrangement for each type, as previously mentioned.
For the case of aggregates, the final arrangement depends on the consideration or not of
the possibility of aggregate cracking, and thus the addition or not of internal interface
elements (as is the case for instance in high strength concrete simulations, see López,
1999). The discretization is shown in figures 2.20 and 2.21 for the different types of
macroelements and aggregates, respectively.
The last step is the addition of the zero-thickness interface elements in predetermined
positions. A first family of interface elements is added in all the aggregate-matrix
contacts. The second family is generated between all the macroelement contacts and
also through the diagonals of the types 2 and 3 macroelements (and the quadrilateral
type 1 macroelements). As mentioned above, interface elements may optionally be
added within the aggregates, with straight lines connecting the polygon vertices, as
shown in the previous figure. The final arrangement of zero-thickness interface
elements is shown in figure 2.22, together with the final FE mesh.
35
Figure 2.19. First step discretization of the geometry into ‘macroelements’: (1) detail of
type 1 macroelement (shaded triangle) formed by aggregate vertices (a), (b) and (c); (2)
detail of type 2 macroelement (shaded polygon) between two aggregate edges (a) and
(b). Final arrangement of (3) type 1, (4) type 2 and (5) type 3 macroelements. (6) Final
arrangement of all macroelements (white holes are the aggregates still not discretized).
36
Figure 2.20. Final arrangement of ‘macroelements’: details of (1) type 3 (highlighted
polygons), (2) type 1 (highlighted triangle) and (3) type 2 (highlighted polygon)
macroelements.
Figure 2.21. Discretization of the aggregates: (a) without and (b) with internal interface
elements. Note that in the last case the assumption of fracture through the vertices of the
aggregates is assumed by connecting vertices with a straight line of interface elements.
Figure 2.22. (a) Arrangement of zero-thickness interface elements. (b) Final FE mesh.
37
A significant effort has been devoted during the course of the thesis to enhance the
performance of the mesh generation program in 2D, which had been initiated in recent
years for the case of trabecular bone (Roa, 2004). In the present work, its extension to
concrete (or mortar) mesostructures has been addressed, with the introduction of some
noteworthy enhancements, including a complete restructuration of the fortran program
and a greater control over the final geometry. More details of the work performed can
be found elsewhere (Idiart, 2008). Focus has been made on the following features:
- more control of the aggregate shape, in order to allow for the generation of
meshes with mono-size aggregates inscribed in circles of constant diameter
while controlling the aggregate volume fraction (for the cases described in
Chapter 4, section 4.5.2.);
- generation of post-processed information of the resulting geometry, with
emphasis on the size distribution and the initial distribution of interface
elements;
- generation of an external frame to the Voronoï polygons, for obtaining meshes
with an external matrix layer (leading to the generation of type 3
macroelements), and an internal frame with interface elements (with the aim of
capturing the stress state in the interior of a larger mesh); this has been a
requisite in order to tackle the simulation of the Willam’s test at the meso-level,
which is on-going work within the group;
- introduction of an automatic procedure for refining specific edges of a given
mesh with straight lines parallel to the surface, which is specially important for
the diffusion-driven phenomena, studied throughout this thesis, in order to
enhance the convergence and the quality of the results at the beginning of the
diffusion process (see figure 2.23);
- implementation of a procedure for a systematic introduction of interface
elements within the aggregates, to allow for aggregate fracture (and generation
of a twin mesh without interface elements, for comparison purposes);
- procedure for the generation of notches of any desired size, allowing for the
simulation of more complex cases as e.g. the Nooru Mohamed mixed mode test,
the wedge splitting test (see figure 2.24), or the generation of C-shaped
specimens (figure 2.25).
38
Figure 2.23. Detail of the mesh refinement near the upper surface.
Figure 2.24. (a) 20x20cm2 mesh with 25x5mm
2 notches on the left and right sides, and
(b) 20x20cm2 mesh with a 60x30mm
2 upper wedge.
Figure 2.25. C-shaped specimen of 3cm thickness (length 24cm; height 12cm).
39
2.7. Description of the aging viscoelastic model for the matrix behavior
In order to simulate the time-dependent deformations in concrete at the meso-level,
which will be described in detail in the next chapter, a basic creep model (under
equilibrated moisture conditions) for the matrix phase of the mesostructure has to be
introduced. A simple viscoelastic model with aging for the matrix behavior had been
previously implemented (López et al., 2003; Ciancio et al., 2003), while aggregates are
assumed to remain linear elastic and time-independent. Based on previous work by
Bazant and coworkers (Bazant & Wu, 1974; Bazant & Panula, 1978; Bazant, 1982), the
selected rheological model consists of an aging Maxwell-chain (figure 2.26a), which is
equivalent to a Dirichlet series expansion of the relaxation function R(t,t’), dual to the
usual compliance function J(t,t’), in which t’ represents the age at loading. Rate-type
models have fundamental advantages for numerical analysis, since it is no longer
necessary to store the entire strain or strain history at each integration point. Because the
matrix exhibits a time-dependent mechanism while the aggregates do not, the
parameters of the Maxwell Chain for the matrix have to be set in order to produce the
desired overall viscoelastic behavior corresponding to the concrete. In the present case,
this adjustment is made with respect to the compliance function J(t,t’) given in the
Spanish code (EHE, 1998; see also section 3.3.2. in Chapter 3) and shown in figure
2.26b. In figure 2.26b, the dashed line represents the compliance function for the
matrix, the bold line the compliance function for a 28 days old concrete obtained as a
result of the mesostructure (matrix plus aggregates behavior), and in the same figure,
the J function for different ages, suggested by the Spanish code, is shown.
Figure 2.26. a) Maxwell chain scheme with springs and dashpots connected in series
and each chain connected in parallel; b) inverse identification of basic creep law for the
matrix behavior, showing the curve given by the Spanish code at different ages, and the
behavior of the numerically generated microstructure at 28 days (dashed line for the
matrix behavior and bold line for the mesostructure).
In the following section, some existing results of the overall behavior of concrete
specimens including the effect of aging, in both matrix and interface elements, as well
as basic creep in the matrix, are briefly outlined (López et al., 2003; Ciancio et al.,
2003), in order to show the model capabilities.
40
2.7.1. Uniaxial compression test for different ages
To test the aging behaviour of the concrete model, a uniaxial compression test has
been performed. In order to control the average stresses on the top surface of the
specimen, an upper load platen, much stiffer than the concrete, has been included in the
discretization for the creep test. The boundary conditions are shown in figure 2.27a. The
displacements of the nodes on the bottom surface are constrained along the vertical
direction, and the horizontal displacements are let free on the lateral edges, except on
the bottom left edge of the specimen. The load is applied quasi-statically on the top
platen in terms of prescribed vertical displacements and the test is repeated for
specimens of different ages. The results are presented in figure 2.27b in terms of
average stress and strain for different loading ages.
Figure 2.27. (a) Mesh used in the calculations with discretized loading platen and
boundary conditions and applied load; (b) instantaneous uniaxial compression curves at
various ages, and peak stress values.
As expected, the curves exhibit increasing strength values with the age of the
material. This effect is due to the aging parameters of the interfaces that determine the
overall peak value. The different elastic stiffness of the various curves is the result of
the aging effect contained in the matrix model (Maxwell chain). It can be observed that
the combination of the constitutive laws, described for interfaces and matrix, qualita-
tively reproduces the well-known effect of aging on the stress-strain curve of concrete.
2.7.2. Basic creep in compression
The same mesh and boundary conditions as before have been used for the basic creep
test. The difference is that, in the present case the load is applied in terms of stresses on
the upper platen rather than displacements. The test has been performed for two
different specimens with ages at loading (t’) of 7 and 28 days. At age t’, a compressive
load is applied up to a certain value, and then is kept constant during a period of 10,000
days, process which is repeated for different load values. The results are shown in figure
2.28 also in terms of stresses and strains for different loading ages.
The “continuous” curve on the left part of each diagram corresponds to the
instantaneous compression test at age t’. The stress-strain path of each creep test follows
41
this curve up to the applied stress value, which then is kept constant. During this period,
one can see the development of time-dependent strain, which corresponds to horizontal
segments originating from the instantaneous stress-strain curve to the right. For stress
levels higher than 0.3 to 0.5 of the quasi-static strength, cracking starts to develop
during the constant stress period. This causes non-linear overall response with internal
stress redistribution. These effects are more pronounced at higher stress levels (as
depicted in figure 2.29 for 31 MPa of compression stress).
The classical isochrones curves are obtained connecting the states characterized by
the same creep period (t- t’), as represented by the dashed lines in figure 2.28. The non-
linearity of these curves, for load values greater than 40% of the peak, is captured by the
model. Comparing two isochrones referred to the same (t-t’) period of the two different
aged materials, one can notice larger strains for the younger specimen, in agreement
with experimental behaviour.
Figure 2.28. Basic creep isochrones at (a) 28 days and (b) 7 days.
Figure 2.29. Crack evolution for a compression stress of 31MPa, at different t – t’: (a) 0,
(b) 100 and (c) 10,000 days.
42